A variational Bayesian mixture modelling framework for cluster analysis of gene-expression data. - Andrew E. Teschendorff; Yanzhong Wang; Nuno L. Barbosa-Morais; James D. Brenton; Carlos Caldas (Bioinform., 2005)

PACK: Profile Analysis using Clustering and Kurtosis to find molecular classifiers in cancer. - Andrew E. Teschendorff; Ali Naderi; Nuno L. Barbosa-Morais; Carlos Caldas (Bioinform., 2006)

Geometric Optimization Methods for Independent Component Analysis Applied on Gene Expression Data. - Michel Journée; Andrew E. Teschendorff; Pierre-Antoine Absil; Rodolphe Sepulchre (ICASSP (4), 2007)

Elucidating the Altered Transcriptional Programs in Breast Cancer using Independent Component Analysis. - Andrew E. Teschendorff; Michel Journée; Pierre-Antoine Absil; Rodolphe Sepulchre; Carlos Caldas (PLoS Comput. Biol., 2007)

Gene expression data analysis using spatiotemporal blind source separation. - Matthieu Sainlez; Pierre-Antoine Absil; Andrew E. Teschendorff (ESANN, 2009)

Increased entropy of signal transduction in the cancer metastasis phenotype. - Andrew E. Teschendorff; Simone Severini (BMC Syst. Biol., 2010)

Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies. - Andrew E. Teschendorff; Joanna Zhuang; Martin Widschwendter (Bioinform., 2011)

DART: Denoising Algorithm based on Relevance network Topology improves molecular pathway activity inference. - Yan Jiao; Katherine Lawler; Gargi S. Patel; Arnie Purushotham; Annete F. Jones; Anita Grigoriadis; Andrew Tutt; Tony C. Ng; Andrew E. Teschendorff (BMC Bioinform., 2011)

Differential variability improves the identification of cancer risk markers in DNA methylation studies profiling precursor cancer lesions. - Andrew E. Teschendorff; Martin Widschwendter (Bioinform., 2012)

A comparison of feature selection and classification methods in DNA methylation studies using the Illumina Infinium platform. - Joanna Zhuang; Martin Widschwendter; Andrew E. Teschendorff (BMC Bioinform., 2012)

A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data. - Andrew E. Teschendorff; Francesco Marabita; Matthias Lechner; Thomas E. Bartlett; Jesper Tegnér; David Gomez-Cabrero; Stephan Beck 002 (Bioinform., 2013)

A variational Bayes beta Mixture Model for Feature Selection in DNA methylation Studies. - Zhanyu Ma; Andrew E. Teschendorff (J. Bioinform. Comput. Biol., 2013)

Capturing confounding sources of variation in DNA methylation data by spatiotemporal independent component analysis. - Emilie Renard; Andrew E. Teschendorff; Pierre-Antoine Absil (ESANN, 2014)

A systems-level integrative framework for genome-wide DNA methylation and gene expression data identifies differential gene expression modules under epigenetic control. - Yinming Jiao; Martin Widschwendter; Andrew E. Teschendorff (Bioinform., 2014)

ChAMP: 450k Chip Analysis Methylation Pipeline. - Tiffany J. Morris; Lee M. Butcher; Andrew Feber; Andrew E. Teschendorff; Ankur R. Chakravarthy; Tomasz K. Wojdacz; Stephan Beck 002 (Bioinform., 2014)

Data integration in the era of omics: current and future challenges. - David Gomez-Cabrero; Imad Abugessaisa; Dieter Maier; Andrew E. Teschendorff; Matthias Merkenschlager; Andreas Gisel; Esteban Ballestar; Erik Bongcam-Rudloff; Ana Conesa; Jesper Tegnér (BMC Syst. Biol., 2014)

The Dynamics of DNA Methylation Covariation Patterns in Carcinogenesis. - Andrew E. Teschendorff; Xiaoping Liu 002; Helena Carén; Steve M. Pollard; Stephan Beck 002; Martin Widschwendter; Luonan Chen (PLoS Comput. Biol., 2014)

Variational Bayesian Matrix Factorization for Bounded Support Data. - Zhanyu Ma; Andrew E. Teschendorff; Arne Leijon; Yuanyuan Qiao 002; Honggang Zhang 002; Jun Guo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Intra-Tumour Signalling Entropy Determines Clinical Outcome in Breast and Lung Cancer. - Christopher R. S. Banerji; Simone Severini; Carlos Caldas; Andrew E. Teschendorff (PLoS Comput. Biol., 2015)

Spatiotemporal ICA improves the selection of differentially expressed genes. - Emilie Renard; Andrew E. Teschendorff; Pierre-Antoine Absil (ESANN, 2016)

Stochastic epigenetic outliers can define field defects in cancer. - Andrew E. Teschendorff; Allison Jones; Martin Widschwendter (BMC Bioinform., 2016)

ChAMP: updated methylation analysis pipeline for Illumina BeadChips. - Yuan Tian 017; Tiffany J. Morris; Amy P. Webster; Zhen Yang; Stephan Beck 002; Andrew Feber; Andrew E. Teschendorff (Bioinform., 2017)

A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies. - Andrew E. Teschendorff; Charles E. Breeze; Shijie C. Zheng; Stephan Beck 002 (BMC Bioinform., 2017)

dbDEMC 2.0: updated database of differentially expressed miRNAs in human cancers. - Zhen Yang 030; Liangcai Wu; Anqiang Wang; Wei Tang; Yi Zhao 013; Haitao Zhao; Andrew E. Teschendorff (Nucleic Acids Res., 2017)

Tumor origin detection with tissue-specific miRNA and DNA methylation markers. - Wei Tang; Shixiang Wan; Zhen Yang; Andrew E. Teschendorff; Quan Zou 001 (Bioinform., 2018)

Accounting for differential variability in detecting differentially methylated regions. - Ya Wang; Andrew E. Teschendorff; Martin Widschwendter; Shuang Wang (Briefings Bioinform., 2019)

eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data. - Charles E. Breeze; Alex P. Reynolds; Jenny van Dongen; Ian Dunham; John Lazar; Shane J. Neph; Jeff Vierstra; Guillaume Bourque; Andrew E. Teschendorff; John A. Stamatoyannopoulos; Stephan Beck 002 (Bioinform., 2019)

ebGSEA: an improved Gene Set Enrichment Analysis method for Epigenome-Wide-Association Studies. - Danyue Dong; Yuan Tian 017; Shijie C. Zheng; Andrew E. Teschendorff (Bioinform., 2019)

Quantifying Waddington's epigenetic landscape: a comparison of single-cell potency measures. - Jifan Shi; Andrew E. Teschendorff; Weiyan Chen; Luonan Chen; Tiejun Li (Briefings Bioinform., 2020)

EpiDISH web server: Epigenetic Dissection of Intra-Sample-Heterogeneity with online GUI. - Shijie C. Zheng; Charles E. Breeze; Stephan Beck 002; Danyue Dong; Tianyu Zhu; Liang-Xiao Ma; Wei Ye; Guoqing Zhang 006; Andrew E. Teschendorff (Bioinform., 2020)

Ultra-fast scalable estimation of single-cell differentiation potency from scRNA-Seq data. - Andrew E. Teschendorff; Alok K. Maity; Xue Hu; Weiyan Chen; Matthias Lechner (Bioinform., 2021)

dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms. - Feng Xu; Yifan Wang; Yunchao Ling; Chenfen Zhou; Haizhou Wang; Andrew E. Teschendorff; Yi Zhao 013; Haitao Zhao; Yungang He; Guoqing Zhang 006; Zhen Yang 030 (Genom. Proteom. Bioinform., 2022)

Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022. - Yongbiao Xue; Yiming Bao; Zhang Zhang 002; Wenming Zhao; Jing-Fa Xiao; Shunmin He; Guoqing Zhang 006; Yixue Li; Guoping Zhao; Runsheng Chen; Jingyao Zeng; Yadong Zhang; et al. (Nucleic Acids Res., 2022)

FastQTLmapping: an ultra-fast and memory efficient package for mQTL-like analysis. - Xingjian Gao; Jiarui Li; Xinxuan Liu; Qianqian Peng; Han Jing; Sibte Hadi; Andrew E. Teschendorff; Sijia Wang; Fan Liu 004 (BMC Bioinform., 2025)